For (future) data translators within government agencies
For governments, it is essential to access, combine and leverage data. This is the only way they can create a meaningful impact for their inhabitants in the face of increasingly large and complex societal challenges. That is precisely where this program will support you as a professional. Learn from leading experts what digitization can mean for you. And how your policy topic can be designed accordingly.
Purpose of this program Digitalization for Government?
In recent years, we have seen technological changes with increasing impact follow each other faster and faster. One major reason: datafication. Datafication is also a driver of major changes in central government. Data translators are needed to guide these changes in a sustainable way. Data translators are bridge builders who can link domain-oriented tasks and departmental goals to usable datasets and technologies.
Learning goals:
After completing the Digitalization for Government program, you will be able to:
- Understand in broad terms the impact of new (digital) technologies, including big data and artificial intelligence, on the economy and society;
- Explain the field of tension between commercial interests and public values created by digitization and name the role of governments in this;
- Name the opportunities and possibilities that digitalisation creates for our social tasks;
- Demonstrating “digital entrepreneurship” within your own field of work, by identifying opportunities to create value with data;
- Gain insight into success and failure factors from government practice when deploying digitization and data;
- Being a client of a data project yourself.
Download the Dutch brochure here – Digitization for Government – Data Science and Artificial Intelligence
Especially built for:
- Public sector program leaders or strategists.
The program is open to employees of government institutions; ministries, provinces, municipalities, but also, for example, water boards and environmental services. Learn about the impact of new (digital) technologies such as artificial intelligence and, in particular, generative AI. Specific prior knowledge of Data Science / AI is not required to follow this program.
What you’ll learn during during Digitalization for Government
Day 1: Data Science & AI, the big picture | government case and project introduction | 28 March 2025
How intelligent is the ‘I’ in AI? Prof. Dr. Emile Aarts explores the evolution of AI, from its historical roots to its impact on business and society today. He’ll dive into the rise of generative methods and what they mean for the future.
Day 2: Ethics & responsible AI | 4 April 2025
Responsible AI ensures ethical, transparent, and fair AI development. This session explores key principles and challenges in making AI trustworthy.
Day 3: Data governance | 11 April 2025
Data governance is crucial, but its fundamentals are often unclear. This session explores what data really is and how to build a solid governance strategy.
Project supervision
During the training you will work in groups on cases. During the project sessions you will work on the cases and you will receive guidance from an expert.
Day 4: Methods for data science implementation | 16 May 2025
Data science implementation depends on the problem, data, and technology. This session covers key methods, ethical concerns, and legal requirements.
Extracting value from data; case study Kadaster
We’ll explore Kadaster as a data-driven organization, its Data Science Team’s role, and how data science is structured. The session also covers real examples, including the Geodata Square, where data science and AI intersect.
Day 5: Visualization | 23 May 2025
Visualizations help data scientists explore data and uncover key patterns. They also communicate insights effectively, making complex information clear and compelling.
Security, risk and resilience
With growing digitization, strong information security and risk management are essential to protecting data, maintaining trust, and ensuring business continuity.
Day 6: Legal preconditions | 6 June 2025
Organizations using data and AI must comply with legal frameworks like the GDPR. Developing ethical guidelines helps ensure responsible and lawful data use.
Project supervision
During the training you will work in groups on cases. During the project sessions you will work on the cases and you will receive guidance from an expert.
Day 7: Introduction Data analysis | 27 June 2025
The session begins with an introduction to data science, covering key concepts like Big Data, AI, and Machine Learning. Slides and examples showcase different data formats, models, and applications.
Deepening Data Analysis
AI is about creating intelligence in machines, while ML is a key approach within AI that learns from data to perform tasks across industries.
Day 8: Data engineering | 4 July 2025
Data is the foundation of any organization. This session covers how to design, build, and maintain data architectures for effective storage, analysis, and access.
Project supervision
During the training you will work in groups on cases. During the project sessions you will work on the cases and you will receive guidance from an expert.
Day 9: Process mining | 5 September 2025
Process mining extracts insights from event logs to improve workflows, while process analysis uses broader techniques for optimization. Both help organizations enhance efficiency and achieve business goals.
Project supervision
During the training you will work in groups on cases. During the project sessions you will work on the cases and you will receive guidance from an expert.
Final session: Presentations and certificate ceremony | 3 October 2025
During the final session, you will present your project. And the certificate ceremony will take place 👨🎓👩🎓
I got what I was looking for AND a great network of people working in different organisations but with similar challenges
I got what I was looking for AND a great network of people working in different organisations but with similar challenges
My goal was to expand my general understanding of AI, data governance and the ethical side of data use in a government environment. I got that, plus a great network of people working in different organisations but dealing with similar challenges on a daily basis. The classroom sessions, led by specialists in their fields, were great fun and there was plenty of room for interaction. Highly recommended!
Translate insights from other organizations and from teachers well to one's own organization.
Translate insights from other organizations and from teachers well to one's own organization.
The program helps you exchange ideas on the axis of practical experience and theoretical foundations. This makes it easy to translate insights from other organizations and lecturers to your own organization. It is organized nicely with a strong balance between theory, practical exercises and an actual project of your own in which you learn a lot about cooperation between government organizations. As far as I am concerned, there are several reasons why I find the JADS training for civil servants valuable:
1) It is enormously valuable to have the conversation about the social tasks that both organisations are working on, to discover where the different views (abstractions) on the same task diverge;
2) It provides a network within the wider government (outside your own organization) where the exchange of ideas leads to valuable lessons for your own organization. Other organizations are slightly more advanced on some issues and being able to discuss it over a theoretically based axis makes it easy to translate into your own practice;
3) It gives room to think about implementing ideas within your own organization and explanations are given by professionals who have applied them in practice. The lessons therefore regularly have excursions to practical assignments of a few minutes that make the power of data tangible, such as getting to work with “process mining” yourself.
Empower yourself
In this program, you and other participants will skill yourself in the technical side of data science, but you will also learn how data science is changing this professional domain and how you can play a leading role in your organization’s data ambitions. The program is open to employees of government institutions; ministries, provinces, municipalities, but also, for example, water boards and environmental services. The program offers program leaders or strategists from the public sector the opportunity to deepen their understanding of the role of digitization in economic and social transition and the application of data for policy issues. Learn about the impact of new (digital) technologies such as artificial intelligence and, in particular, generative AI.
Why JADS?
We make data personal
Real impact you can make comes from an approach tailored to your specific business context & sector. We give you the tools, mindset and skills to take effective action.
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